B. Aalderink, M. Klein, R. Padoan, G. De-bruin, and T. Steemers, Clearing the Image: A Quantitative Analysis of Historical Documents Using Hyperspectral Measurements, 37th AIC, 2009.

S. Ahmed, M. I. Malik, M. Liwicki, and A. Dengel, Signature Segmentation from Document Images, 2012 International Conference on Frontiers in Handwriting Recognition, pp.423-427, 2012.
DOI : 10.1109/ICFHR.2012.271

P. Banerjee and B. Baran-chaudhuri, A System for Hand-Written and Machine- Printed Text Separation in Bangla Document Images, ICFHR. IEEE, 2012.

E. B. Brauns and R. Dyer, Fourier Transform Hyperspectral Visible Imaging and the Nondestructive Analysis of Potentially Fraudulent Documents, Applied Spectroscopy, vol.60, issue.8, pp.833-840, 2006.
DOI : 10.1366/000370206778062093

S. Chanda, K. Franke, and U. Pal, Structural handwritten and machine print classification for sparse content and arbitrary oriented document fragments, Proceedings of the 2010 ACM Symposium on Applied Computing, SAC '10, pp.18-22, 2010.
DOI : 10.1145/1774088.1774093

S. Djeziri, F. Nouboud, and R. Plamondon, Extraction of signatures from check background based on a filiformity criterion, IEEE Transactions on Image Processing, vol.7, issue.10, pp.1425-1438, 1998.
DOI : 10.1109/83.718483

D. Goltz, M. Attas, G. Young, E. Cloutis, and M. Bedynski, Assessing stains on historical documents using hyperspectral imaging, Journal of Cultural Heritage, vol.11, issue.1, pp.19-26, 2010.
DOI : 10.1016/j.culher.2009.11.003

J. K. Guo and M. Y. Ma, Separating handwritten material from machine printed text using hidden Markov models, Proceedings of Sixth International Conference on Document Analysis and Recognition, pp.439-443, 2001.
DOI : 10.1109/ICDAR.2001.953828

R. W. Hunt and . Gainer, The reproduction of colour, 2005.

S. Imade, S. Tatsuta, and T. Wada, Segmentation and classification for mixed text/image documents using neural network, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93), pp.930-934, 1993.
DOI : 10.1109/ICDAR.1993.395584

R. Jayadevan, S. R. Kolhe, P. M. Patil, and U. Pal, Automatic processing of handwritten bank cheque images: a survey, International Journal on Document Analysis and Recognition (IJDAR), vol.8, issue.1, pp.267-296, 2012.
DOI : 10.1007/s10032-011-0170-8

Z. Khan, F. Shafait, and A. Mian, Hyperspectral Imaging for Ink Mismatch Detection, 2013 12th International Conference on Document Analysis and Recognition, pp.877-881, 2013.
DOI : 10.1109/ICDAR.2013.179

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.590.5606

K. Kuhnke, L. Simoncini, and Z. M. Kovacs-v, A system for machine-written and hand-written character distinction, Proceedings of 3rd International Conference on Document Analysis and Recognition, pp.811-814, 1995.
DOI : 10.1109/ICDAR.1995.602025

S. Leutenegger, M. Chli, and R. Y. Siegwart, BRISK: Binary Robust invariant scalable keypoints, 2011 International Conference on Computer Vision, pp.2548-2555, 2011.
DOI : 10.1109/ICCV.2011.6126542

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.371.1343

M. Liwicki and M. Malik, Surprising? Power of Local Features for Automated Signature Verification, IGS. pp, pp.18-21, 2011.

D. G. Lowe, Object recognition from local scale-invariant features, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.1150-1157, 1999.
DOI : 10.1109/ICCV.1999.790410

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.121.4065

V. Madasu, M. Krishna, M. Hafizuddin, M. Yusof, L. Hanm et al., Automatic extraction of signatures from bank cheques and other documents, DICTA. pp, pp.591-600, 2003.

M. I. Malik and M. Liwicki, Andreas Dengel and Bryan Found. 2013. Man vs. Machine: A Comparative Analysis for Forensic Signature Verification, IGS. International Graphonomics Society pp, pp.9-13

M. Malik, M. Imran, A. Liwicki, and . Dengel, Part-Based Automatic System in Comparison to Human Experts for Forensic Signature Verification, 2013 12th International Conference on Document Analysis and Recognition, pp.872-876, 2013.
DOI : 10.1109/ICDAR.2013.178

R. Mandal, P. P. Roy, and U. Pal, Signature Segmentation from Machine Printed Documents Using Conditional Random Field, 2011 International Conference on Document Analysis and Recognition, pp.1170-1174, 2011.
DOI : 10.1109/ICDAR.2011.236

URL : https://hal.archives-ouvertes.fr/hal-01026455

R. Mandal, P. P. Roy, and U. Pal, SIGNATURE SEGMENTATION FROM MACHINE PRINTED DOCUMENTS USING CONTEXTUAL INFORMATION, International Journal of Pattern Recognition and Artificial Intelligence, vol.26, issue.07, 2012.
DOI : 10.1142/S0218001412530035

URL : https://hal.archives-ouvertes.fr/hal-01026459

A. Morales, M. Ferrer, M. Diaz-cabrera, C. Carmona, and G. Thomas, The use of hyperspectral analysis for ink identification in handwritten documents, 2014 International Carnahan Conference on Security Technology (ICCST), pp.1-5, 2014.
DOI : 10.1109/CCST.2014.6986980

S. Mozaffari and P. Bahar, Farsi/Arabic Handwritten from Machine-Printed Words Discrimination, 2012 International Conference on Frontiers in Handwriting Recognition, 2012.
DOI : 10.1109/ICFHR.2012.202

G. Reed, D. Savage, N. Edwards, and . Daeid, Hyperspectral imaging of gel pen inks: An emerging tool in document analysis, Science & Justice, vol.54, issue.1, pp.71-80, 2014.
DOI : 10.1016/j.scijus.2013.09.005

E. Rosten and T. Drummond, Fusing points and lines for high performance tracking, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, pp.1508-1515, 2005.
DOI : 10.1109/ICCV.2005.104

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.4715

M. Sankari, M. Benazir, and R. Bremananth, Verification of bank cheque images using Hamming measures, 2010 11th International Conference on Control Automation Robotics & Vision, pp.2531-2536, 2010.
DOI : 10.1109/ICARCV.2010.5707819

P. Shiel, M. Rehbein, and J. Keating, The ghost in the manuscript: Hyperspectral text recovery and segmentation, Codicology and Palaeography in the Digital Age pp, pp.159-174, 2009.

C. Silva, M. Pimentel, R. Honorato, C. Pasquini, J. Prats-montalbán et al., Near infrared hyperspectral imaging for forensic analysis of document forgery, The Analyst, vol.234, issue.19, pp.5176-5184, 2014.
DOI : 10.1039/C4AN00961D

Y. Zheng, H. Li, and D. Doermann, Machine printed text and handwriting identification in noisy document images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.3, pp.337-353, 2004.
DOI : 10.1109/TPAMI.2004.1262324

G. Zhu, Y. Zheng, D. Doermann, and S. Jaeger, Multi-scale Structural Saliency for Signature Detection, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383255

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.8965

G. Zhu, Y. Zheng, D. Doermann, and S. Jaeger, Signature Detection and Matching for Document Image Retrieval, pp.312015-2031, 2009.